Philemon Brakel

According to our database, Philemon Brakel authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Offline Actor-Critic Reinforcement Learning Scales to Large Models.

Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

CoRR, 2024

2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.

Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess

CoRR, 2022

Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner.

Philémon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

A Constrained Multi-Objective Reinforcement Learning Framework.

Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Recall Traces: Backtracking Models for Efficient Reinforcement Learning.

Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Light Gated Recurrent Units for Speech Recognition.

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

IEEE Trans. Emerg. Top. Comput. Intell., 2018

Recall Traces: Backtracking Models for Efficient Reinforcement Learning.

Anirudh Goyal, Philemon Brakel, William Fedus, Timothy P. Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio

CoRR, 2018

2017

Improving Speech Recognition by Revising Gated Recurrent Units.

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Proceedings of the Interspeech 2017, 2017

An Actor-Critic Algorithm for Sequence Prediction.

Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio

Proceedings of the 5th International Conference on Learning Representations, 2017

A network of deep neural networks for Distant Speech Recognition.

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Invariant Representations for Noisy Speech Recognition.

Dmitriy Serdyuk, Kartik Audhkhasi, Philemon Brakel, Bhuvana Ramabhadran, Samuel Thomas, Yoshua Bengio

CoRR, 2016

Batch-normalized joint training for DNN-based distant speech recognition.

Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks.

Ying Zhang, Mohammad Pezeshki, Philémon Brakel, Saizheng Zhang, César Laurent, Yoshua Bengio, Aaron C. Courville

Proceedings of the Interspeech 2016, 2016

Deconstructing the Ladder Network Architecture.

Mohammad Pezeshki, Linxi Fan, Philemon Brakel, Aaron C. Courville, Yoshua Bengio

Proceedings of the 33nd International Conference on Machine Learning, 2016

Batch normalized recurrent neural networks.

César Laurent, Gabriel Pereyra, Philemon Brakel, Ying Zhang, Yoshua Bengio

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

End-to-end attention-based large vocabulary speech recognition.

Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Task Loss Estimation for Sequence Prediction.

Dzmitry Bahdanau, Dmitriy Serdyuk, Philemon Brakel, Nan Rosemary Ke, Jan Chorowski, Aaron C. Courville, Yoshua Bengio

CoRR, 2015

2013

Training energy-based models for time-series imputation.

Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen

J. Mach. Learn. Res., 2013

Bidirectional truncated recurrent neural networks for efficient speech denoising.

Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen

Proceedings of the INTERSPEECH 2013, 2013

2012

Oger: modular learning architectures for large-scale sequential processing.

David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski

J. Mach. Learn. Res., 2012

Energy-Based Temporal Neural Networks for Imputing Missing Values.

Philemon Brakel, Benjamin Schrauwen

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization.

Philemon Brakel, Sander Dieleman, Benjamin Schrauwen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Audio-based Music Classification with a Pretrained Convolutional Network.

Sander Dieleman, Philemon Brakel, Benjamin Schrauwen

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011